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Models / Octen-Embedding
3 models (0.6B to 8B) · ↓ 414.6K downloads a month · from $0.08/h on GTX 1660 SUPER right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| OriginalOcten/Octen-Embedding-0.6B | Text Embeddings Inference | 1.2 GB | 3 GB | $0.08/h GTX 1660 SUPER |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| OriginalOcten/Octen-Embedding-4B | Text Embeddings Inference | 8.0 GB | 12 GB | $0.10/h RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| OriginalOcten/Octen-Embedding-8B | Text Embeddings Inference | 15 GB | 21.2 GB | $0.24/h RTX 3090 |
| w4a16 (groxaxo)groxaxo/octen-embedding-8b-w4a16 | vLLM | 4.3 GB | 8.3 GB | $0.10/h RTX 3060 |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").